Difference between revisions of "Summative evaluation"
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| − | The goal of summative evaluation is to find out whether feature P causes quality X (regardless of the system that uses feature P). The usual summative approach is to test system A versus system B, where these systems only differ on feature P, and then measuring quality X to see if it differs between the two systems. Summative methods include A/B tests (field trials) and controlled experiments. | + | The goal of '''summative evaluation''' is to find out whether feature P causes quality X (regardless of the system that uses feature P). The usual summative approach is to test system A versus system B, where these systems only differ on feature P, and then measuring quality X to see if it differs between the two systems. Summative methods include A/B tests (field trials) and controlled experiments. |
Researchers planning to do a [[user-centric recommender system evaluation]] need to be aware of the [[trade-offs between formative and summative evaluation]]. | Researchers planning to do a [[user-centric recommender system evaluation]] need to be aware of the [[trade-offs between formative and summative evaluation]]. | ||
| + | [[Category:Evaluation]] | ||
Revision as of 17:14, 21 February 2011
The goal of summative evaluation is to find out whether feature P causes quality X (regardless of the system that uses feature P). The usual summative approach is to test system A versus system B, where these systems only differ on feature P, and then measuring quality X to see if it differs between the two systems. Summative methods include A/B tests (field trials) and controlled experiments.
Researchers planning to do a user-centric recommender system evaluation need to be aware of the trade-offs between formative and summative evaluation.
